Moses M.

Key Skills

Software

iMerit

Top Subject Matter

AI image output editing (visual transformation)

Account-level record verification and data quality review

Account dataset annotation and Q&A generation

Top Data Types

Image

Text

Top Task Types

Segmentation

Classification

Question Answering

Entity (NER) Classification

Freelancer Overview

Data Annotator (Scholar) — Nidra image output editing dataset annotation. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include iMerit. Education includes Bachelor of Science, Birkbeck, University of London (2021) and N/A, Westlake High School (2016). AI-training focus includes data types such as Image and Text and labeling workflows including Segmentation, Classification, and Question Answering.

Labeling Experience

Data Annotator (Scholar) — Nidra image output editing dataset annotation

iMeritImageSegmentation

Annotated AI training datasets for an image output editing project by comparing input and output images to identify visual differences. Labeled regions and attributes associated with subject pose, object changes, background edits, and style transformations using structured project guidelines. Applied quality controls to meet SLA requirements and stay within an acceptable error threshold while producing transformation instructions. • Labeled visual change regions using annotation tools. • Wrote action-oriented transformation instructions to guide model training. • Skipped or escalated tasks involving NSFW content, identical images, or unrelated pairs. • Performed peer reviews to ensure labeling accuracy and consistency across the dataset.

2025 - 2025

IT Support & Data Operations Associate — account systems review and annotation

TextClassification

Performed structured review and annotation of account and transaction records by checking for logical accuracy, consistency, and quality. Assessed system results relative to internal standards and documented decisions using detailed, reproducible written rationale. Identified anomalies, inconsistencies, and out-of-scope cases and escalated them with clear explanations for resolution. • Verified logical alignment between back-end results and required standards. • Flagged anomalies and inconsistencies in account records for escalation. • Created end-user friendly summaries supported by written justifications. • Documented processes and usage scenarios for structured reporting.

2023 - 2024

Data Analyst Assistant (Account Systems) - Execo Ltd

ImageEntity (NER) ClassificationClassification

Supported account systems by reviewing structured datasets and validating outputs for logical alignment and quality. Created natural-language question-and-answer pairs and written justifications based on database-style query results. Performed quality checks on annotated data and inspected SQL-style logic to ensure correctness, clarity, and reproducibility. • Reviewed and annotated structured account datasets using labeling frameworks • Verified alignment between user questions and returned results and escalated inconsistencies • Designed business scenarios to test workflows and evaluate output quality • Conducted clarity, correctness, and reproducibility checks including SQL-style output review

2021 - 2023

Data Analyst Assistant (Account Systems) — structured dataset labeling and evaluation

TextQuestion Answering

Reviewed and annotated structured and synthetic account datasets using labeling frameworks to ensure accurate, consistent outputs. Created natural-language question and answer pairs and provided written justifications based on database-style query outputs. Evaluated output quality by checking clarity, correctness, and reproducibility, and by inspecting SQL-style logic for uniformity. • Translated SQL-style outputs into user-facing Q&A pairs. • Verified question-to-result alignment and flagged ambiguous samples. • Designed business scenarios to test data workflows. • Conducted quality checks on annotated data for consistency.

2021 - 2023

Education

Work History